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Factors Affecting the Price of Commercial Housing in Haikou Housing

Author

Listed:
  • Ji-Yan Wu
  • Wan-Yin Zheng
  • Xu-You Zeng

Abstract

This paper uses the grey correlation degree and factor analysis method to carry out empirical research on the main influencing factors of residential price extraction in Haikou City according to the data of Haikou City from 2013 to 2018 as a sample. The research results show that the factors affecting housing prices can be divided into two aspects. From the economic level, the impact of population, regional GDP and per capita disposable income are positive effects. They promote economic growth to increase housing prices. From the perspective of expenditure levels, expected housing prices, investment costs, and consumer price index will affect housing prices by influencing consumers and investors spending decisions. On the whole, the key factors affecting house prices are mainly policies, population movements, economic growth, and total investment costs.

Suggested Citation

  • Ji-Yan Wu & Wan-Yin Zheng & Xu-You Zeng, 2018. "Factors Affecting the Price of Commercial Housing in Haikou Housing," Applied Economics and Finance, Redfame publishing, vol. 5(5), pages 59-66, September.
    • Handle: RePEc:rfa:aefjnl:v:5:y:2018:i:5:p:59-66
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    More about this item

    Keywords

    gray correlation degree; factor analysis; residential property price;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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